In this lecture we will continue our discussion of probabilistic modelling and turn our attention to approximate inference.

**Please study the following material in preparation for the class:**

- Chapter 19 of the Deep Learning Textbook on approximate inference.

In preparation for the following lecture, please study this paper as well, mentioned already in class:

- G. Alain, Y. Bengio, (ICLR 2013), What Regularized Auto-Encoders Learn from the Data Generating Distribution :http://arxiv.org/abs/1211.4246